|Publication number||US5206949 A|
|Application number||US 07/390,524|
|Publication date||27 Apr 1993|
|Filing date||7 Aug 1989|
|Priority date||19 Sep 1986|
|Publication number||07390524, 390524, US 5206949 A, US 5206949A, US-A-5206949, US5206949 A, US5206949A|
|Inventors||Nancy P. Cochran, Susan Byrnes|
|Original Assignee||Nancy P. Cochran|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (52), Referenced by (191), Classifications (7), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This is a continuation of application Ser. No. 06/909,293, filed Sep. 19, 1986 now U.S. Pat. No. 4,879,648.
This invention relates to a display of terms, for example, terms used for searching through electronic data base systems, and more specifically, to a method and apparatus for displaying search terms, selecting desired terms and obtaining records from a structured data base. The method and system are preferably applied to data bases that are indexed or formatted but, in a most general sense, it is applicable to any electronic data base.
Historically there are two ways of selecting records from a data base. One is called "command driven" and requires a user to formulate requests for records from the data base by typing instructions or "commands" that are syntactically correct according to the grammatical and spelling rules of the software used to access the particular data base. These rules are often complicated, extremely inflexible and are many times lacking in obvious meaning from the point of view of the user's normal English vocabulary and grammar. As an example, in one system a user might be required to type the term "SEL/na=Brown,*" to select records where Brown appears as the surname of the author, and where the given name is not specified. The software associated with the data base recognizes "SEL" as a search command, "na=" as a command identifying the author field or category in each record of the data base, and "Brown,*" as the search term. In another system, a user is required to type "S au/??Brown" to conduct the same type of search through a second data base, since the command syntax is different than the first software search system.
The second known method of searching through or making selections from a data base, usually called "menu driven", displays syntactically clear phrases describing the choices that can be made in formulating a search in a data base. These choices appear in a column as a list or "menu" of terms on the computer screen. A different menu is used for each decision making category. The user is expected to recognize the term that indicates the procedure he wants executed and type some simple, non-syntactic character to indicate this choice. Usually terms in menus are numbered and the user types the numeric character that corresponds to the chosen term.
In situations where more than one decision needs to be made in order for a particular procedure, i.e., search, to be executed, a choice on one menu may result in the appearance of additional menus that call for additional terms to be selected. Menu driven formats have the advantage of requiring a minimum amount of skill from the user. However, since it takes time for a computer screen to change from one menu display to another, menu driven selection procedures are slow in comparison to command driven procedures when multiple choices are being made. Also, when selections are made from several menus in succession the user may lose sight of or forget what decisions have been made and what decisions or selections could have been made if the decision path had taken a different direction.
The menu driven system can be combined with so-called "pop-up" or "pop-down" windows that display the menu selections for an individual category. However, when the number of terms in the menu is great, this type of "pop-up" menu system is impractical due to the limited size of the video display screen. Further, if a large number of categories or fields are involved in the search, the size of the "pop-up" menu is further diminished if the user is to have an unobstructed view of all the categories available for selecting the search terms.
The present invention is an improvement on both command driven and menu driven selection procedures. It is a unique method in that it presents all possible decision making categories at the same time i.e., simultaneously, and usually continuously on a single computer screen. All search term choices are displayed as meaningful, syntactically correct words or phrases. The invention utilizes any selected search term or search method decision previously made by the user to determine the most efficient order for requesting further input by the user in subsequent decision categories. The user makes selections from one category while having a visual record of choices selected in other previous categories and can change a term previously selected in a category without effecting the other choices or resubmitting earlier search term decisions.
It is an object of the present invention to provide a method of displaying search terms (or data sets) and requiring the user to actuate only a limited number of control key inputs to select the desired terms and categories.
It is an additional object of the present invention to provide a user-friendly system for displaying a relatively large amount of data and having the user select certain terms or data sets from that data by operating substantially two control inputs.
It is another object of the present invention to provide a system which has a variable or dynamic amount of information to be displayed to the user for the user's further selection.
It is an additional object of the present invention to provide search terms which are formed from data fields found in a plurality of records in a data base and only make those search terms available to the user in the form of a dynamic list to facilitate searching through continually changing data bases or through a data base wherein only a small number of records have information in a desired field.
One aspect of the invention involves a method and a system of displaying information. Data sets or search terms are grouped in a plurality of lists and each list represents a category or a field in a record in a data base. As used herein, the data base consists of a plurality of records and each record has a number of fields therein. The invention continuously displays a plurality of categorical identifiers for each category and each categorical identifier is related to at least one list. Some identifiers relate to several lists.
The method and system of displaying primarily utilizes two control inputs, a scrolling control and a select control. When the cursor is at one categorical identifier, i.e., is at one category name, a term (or data set) of the unique list associated with that category is displayed proximate the categorical identifier. The user can scroll through the list and change the term by actuating the scrolling control. Therefore, the method sequentially displays, one at a time, terms from the list upon sequential application of the scrolling control. To select the term from the list for that category the select control is actuated, the cursor moves, and thereafter another category is available for selection of a further term from a corresponding list.
The method and system of displaying terms also includes a control category which is not associated with a field in the records of the data base. The control category is associated with a list of command controls that are selectable by the user with the scrolling control and the select control. For example, control commands such as "give number of records found using the selected search terms", "display present set of records", "quit" or "exit" the display and search and applications program, "clear screen", and "modify selection" from any category or from a particular category are displayable and selectable via the scrolling and select controls.
The method and system of displaying terms is combined with a method and system of selecting terms such that a search can be conducted through a data base. Lists are classified as fixed or static lists and dynamic or variable lists. The static lists have a set or fixed number of terms therein, i.e., a fixed length, and are derived from expected items in the data base. If the static list is long, the user is prompted to input one or more input characters. If one or more of the input characters match a character string of a term in the static list, a sublist is created by segmenting the static list and displaying only terms matching one or more of the input characters. Only the sublist terms are selectable by the user vis-a-vis scrolling and select control inputs.
The dynamic lists are made by obtaining data fields from each record in the data base wherein the fields correspond to the category selected by the user The data fields are treated as search terms (data sets) and the terms are displayed and selectable by the user vis-a-vis scrolling and select controls. If the dynamic list is lengthy, the user is prompted to input one or more input characters which are used to segment the search through the records and obtain a sub-set of data fields that match one or more of the characters in the input character string.
Another aspect of this invention is to use static lists which are not search terms but are rather category instruction commands that define the course of the search and that control the order of presentation of decision making categories to the user.
The subject matter which is regarded as the invention, together with further objects and advantages thereof, may best be understood by reference to the following description taken in conjunction with the accompanying drawings, in which:
FIGS. 1a and 1b illustrate two video screen display layouts A and B;
FIG. 2 is a graphical representation of the display method and system wherein one data set or term is displayed but a plurality of terms associated with a like category are disposed in storage "behind" the displayed term;
FIG. 3 illustrates a wrap around or circular buffer holding the plurality of terms as one list, terms T0 through TN being included in the list;
FIG. 4 is a graphical illustration of a specific embodiment of both the method and system of display and method and system of selecting search terms for search through a data base;
FIG. 5 is a representation of the wrap around character buffer holding the search terms identifying hotels in a list associated with the category Hotel Name in FIG. 4;
FIG. 6 is a representation of the wrap around character buffer showing the control command list illustrated in FIG. 4;
FIG. 7 is a flow chart illustrating the initial steps in the specific application of the invention;
FIG. 8 is a flow chart showing the steps of displaying and selecting terms per the present invention;
FIG. 9 is a subroutine for generating a segmented dynamic list from records in a data base;
FIG. 10 is a subroutine showing the steps for obtaining a dynamic list from a data base;
FIG. 11 is a flow chart showing a subroutine for segmenting a static list and removing terms therefrom when the length of the static list is too long for the user to efficiently scroll through;
FIG. 12 is a flow chart of a subroutine showing how to identify the first term to be displayed;
FIG. 13 is a flow chart in a D flow chart format showing the control routine for the particular application of the method and system of the invention described with respect to FIG. 4;
FIG. 14 is a graphical representation of the data base used in conjunction with the specific application of this invention; and
FIGS. 15 and 16 graphically represent the use of the present invention with a data base currently available to the public.
The present invention relates to a method and a system of displaying a relatively large amount of data to a user, and allowing the user to select data sets, i.e., terms wherein each data set is one selectable data set entity. Another aspect of the invention relates to using those selected terms as search terms which enable the user to search through the records in and obtain records from a data base.
Each decision making category used in the search of the data base is assigned one or more unique locations on a computer screen. The number of locations assigned is equal to the number of terms that can be selected from all categories. After the term is selected, it is sometimes called herein a "qualifier" since it is used to qualify the search through the data base or identify which of the further categories will be made available to the user.
FIGS. 1a and 1b illustrate layouts A and B for a video screen display, i.e., a CRT or video terminal connected to a computer. For example, if records in a data base can be selected (or searched for) on the basis of price, size and up to four color choices, there is one unique preselected location L1 for displaying the variables in the category of Price C1, one display location L2 for the variables in the Size category C2 and four locations L3 through L6 for Color category C3. The positioning of the locations on the screen is not critical. Either of the layouts A and B in FIGS. 1a and 1b would serve for the simple example of displaying price, size and color terms for selecting records having those attributes. The displayed categorical identifier "Price" is intrinsically linked to a list of price terms that are displayed at L1 as are lists for size and color categories.
In addition, each display has a Control category C4 with a display location L7. The categories in FIG. 1a are enclosed by dashed lines, the categories in FIG. 1b are illustrated proximate brackets.
In general, when the applications program of the present invention is initially accessed, the cursor would appear at location L1 for the Price category C1. The category immediately under the user's control is called herein the "currently selected category". The user strikes the scroll control key (which can be the tab key) and a first price or price range appears at display location L1. By repeatedly actuating the scroll control, different prices or price ranges appear at location L1. When the user finds the desired price, he actuates the select control key (e.g., the return key) which selects the displayed term and moves the cursor to location L2 for Size category C2. The user then repeats the operation with respect to the Size category. The Color category is similar except that the cursor would move from display location L3 to display location L4 so the user can select multiple colors for that category. After the user selects a color at location L6, the cursor moves to display location L7 in the Control category C4. At that point the user is displayed one of a plurality of control commands which is selectable upon actuation of the select control key. Other commands are sequentially displayed upon actuation of the scroll control key.
Terms available for selection in any decision making category appear on the computer screen one-at-a-time at their assigned locations. The amount of screen space allocated for each location L1 through L7 must be such that all the characters of the longest term are displayed in the space. The metaphor of a rotating drum or an endless belt, diagrammed in FIG. 3, is one way of visualizing the method wherein terms T0, T1, . . . Tn-1 and Tn are available to be displayed in one location for a category. This is similar to a circulating storage means or a circular buffer.
In the diagram, only term T0 is visible on the computer screen. Other terms in the list can be thought of as being "behind the screen" and this aspect is illustrated in FIG. 2. Term T1 can be "rotated" to the visible position and thus become a candidate for a qualifier (a selected term) by actuating the scroll control key, i.e., with one key stroke. In one embodiment, a reverse scroll control input (e.g., the backspace key) is available that displays Tn. Each of these two screen changes is accomplished using one key stroke because each term T1 and Tn is one position away from T0, the visible position. To display term T3, three key strokes are required because T3 is three positions away from T0 in the list. Conceptually, a wrap around or circular character string buffer is used to store the list of terms T0 through Tn.
If the rotating drum metaphor is applied to Layout B in FIG. 1b, each of the unique locations for the Price L1, Size L2, and Color L3, L4, L5, L6 and Control L7 categories will display one term while other terms in each category remain "behind the screen". This principle is illustrated schematically in FIG. 2 for Layout B.
FIG. 4 shows a more complicated layout for a specific working embodiment of the invention. In this embodiment, a structured data base of hotel and resort information records is searched and records are selected using any of the following qualifiers or selected search terms: geographic location of the property; type of lodging or resort; exact location; proximity to another location, e.g., larger city; number of accommodations available; number and type of meeting rooms available; price; proximity to specific areas of interest such as tourist attractions, business locations or airports; kinds of services provided; kinds of recreational activities available on the premises; kinds of recreational facilities available near the location; restrictions and special features of the hotel; and number and type of restaurants. The records also include fields for the name of the hotel, the address of the hotel, the phone number, fields regarding the rate structure for singles, doubles, suites, rates for daily, weekly, monthly, rate changes for the time of the year and the particular rate or range of rates. The major fields in each record correspond to the following categories shown in FIG. 4:
Type of Lodging
Reference (to airport, tourist attraction and business)
Activities on Site
Activities off Site
Each of these categories are shown on the display illustrated in FIG. 4 by a categorical identifier. As used herein, the term "category" corresponds to information displayed and requested or useful to the user. The term "field of data" or "data field" refers to the information in a particular field in a particular record. For example, a record in the hotel/resort data base on the Marriott Gateway Hotel in Arlington, Va. would have a "Hotel Name" field of data representing "Marriott Gateway". This field corresponds to the category "Hotel Name" in FIG. 4. Likewise, the Marriott Crystal City in Arlington, Va. has a Hotel Name field "Marriott Crystal City" which distinguishes that record from the previously discussed record. A further field on the Marriott Crystal City record could be the proximity of the hotel to the United States Patent and Trademark Office, also located in Arlington, Va. This field corresponds to the "Reference" category shown in FIG. 4.
Two categorical identifiers, Search Method and Control, are not related to a particular field in the records. The Search Method category allows the user to "jump" to a category other than the next sequentially illustrated category. The Control category allows the user to activate a search routine through the data base with the previously selected terms, to exit the applications program, to modify one of the terms selected in a previous category, and to select other control functions.
In this specific embodiment, the invention is a computer program although the invention as claimed hereinafter is not limited to computer programs. When the program is first loaded or "called up" on the computer and after an introductory screen display is shown to the user, the cursor is immediately to the right of the colon proximate the categorical identifier "Location" in FIG. 4. Since the user in this particular embodiment is usually a travel agent, and since the major desire of the person wishing to reserve a room in a hotel with the assistance of the travel agent most likely has identified the general location of the hotel, the travel agent inputs a two-character state code, e.g., Va for Virginia. The travel agent can enter another two-character state code such as DC, by actuating the space bar and then pressing alpha keys "D" and "C" on the keyboard associated with the video terminal. Alternatively, the travel agent/user can enter a three-character airport code, e.g., "DCA" which is the code that represents National Airport at Washington, D.C. After inputting at least one of these items, the travel agent then actuates the return key (herein identified as -R-) or in some cases the "enter" key on the terminal keyboard. By this action (-R-), the user selects the input character string for the Location category.
The cursor then moves to a location immediately to the right of the colon proximate the categorical identifier "Type of Lodging". Immediately upon that action, the character string "Complete List" pears at that location. As will be described later, the data set or term "Complete List" is the first term in the static or fixed length list in the category "Type of Lodging". This static list is shown in the box to the right of the display screen illustrated in FIG. 4 and a double line terminating in an arrow shows the relationship between the list of terms, the display location, and the category which corresponds to the list.
Certain of the lists shown in FIG. 4 are fixed in length or static lists. However, the number of terms in each list shown has been significantly limited in order to simplify the drawing. The list associated with the categories, City, Hotel Name and Reference however, are variable length lists or dynamic lists. These dynamic lists can vary in length and hence may include no terms or may include as many terms as appear in the data fields in the same field in all of the records in the data base.
The term immediately displayed when the cursor reaches a particular display location is shown by asterisks in FIG. 4. This term is separated from the other terms in the list by a solid line. Therefore, with respect to the Type of Lodging category, the term "Complete List" appears first when the cursor is at that display location. For the user to see the next sequential term on the list, the user actuates the scroll control key, herein the tab key -TAB-, and "Chain Hotels" appears at that display location in the place of "Complete List". The user can scroll through the entire list for the Type of Lodging category by sequentially actuating -TAB- to display in sequence: Complete List, Chain Hotels, Hotel/Motel, Suite Hotels, Waterfront, Country Inns, Resort, and return to Complete List. The user can reverse scroll through the list by actuating the reverse scroll control key, herein the backspace (-BKSP-) key. Starting from the Complete List term, the Resort term appears when -BKSP- is actuated. The user selects one of the terms from the Type of Lodging list by actuating the select control key, herein the return key -R-. The program then utilizes the selected term as is described later and moves the cursor to the next category Search Method. Therefore, the user actuates only two keys to select the appropriate term from the list.
The list displayed when the Search Method category is selected depends upon whether the travel agent initially input the two-character state code (Va), or whether the travel agent input the three-character airport code (DCA). If the two-character state code was selected, the term initially displayed proximate the classification Search Method is "City plus Hotel". If the travel agent actuates the return -R- key, the cursor then moves to the City category and, as will be described later, the program or software applications routine formulates a dynamic list of cities in Virginia (if Va was earlier input) from which the user can select a City term. This routine is described in detail later. After selection of a city, the cursor then moves to the Hotel Name category and another dynamic list is formed from the records in the data base from the sub-set of records only having that particular selected city.
If the user/travel agent had scrolled down the static list categorized as Search Method when the state code has been entered to the term "City plus Criteria", the cursor, after selection of the city would have moved to the first display location to the right of the Rate category. The super-category labeled as "Criteria" in FIG. 4 includes the following categories: Rate, Size, Meeting Rooms, Activities on Site, and Activities off Site. Selection of terms from those categories is similar to that described above. Three static lists are associated with the Activities on Site and Activities off Site categories. Each list assigned to one of those categories is similar. The cursor moves from one display location to the next following location immediately to the right. If the user does not want to select a term from the list, each list includes a blank or null data set that can be scrolled to the display location.
The cursor ultimately reaches the Control category wherein the list of control commands is available for selection. Generally, these control commands activate or complete the searching function of the program, exit the program or allow modification of the previously selected terms. This feature is also described later. The specific features of the invention are described below with reference to FIGS. 1-4.
The user's objective is to determine which terms in each decision making category are to be used as qualifiers (selected search terms) in a data base search and to rotate those terms to the visible position on the computer screen. A term in the visible position on the screen is, by definition, a displayed term and the displayed term becomes a search term or a qualifier when the user leaves that display location and/or category by actuation of the select control key. No more than three Function Keys are needed to accomplish this display and select task. Control Key #1 moves or scrolls through the list of terms in one direction, which is usually designated as "forward"; Control Key #2 moves or scrolls through the list in the opposite direction called "backward" (reverse scroll); Control Key #3 is used to select the displayed term and to advance the cursor to a different position on the screen. In the example, these Control Keys are assigned as follows:
______________________________________TAB (-TAB-) to rotate the list forwardBACKSPACE (-BKSP-) to rotate the list backwardRETURN (-R-) to advance to the next position______________________________________
The cursor is used to mark the location where the user is making a selection. As the cursor advances to the next location, the user is required to interact with the program in that category.
A list of terms usually includes a null field term or "blank" term as one term in the list. If the user chooses not to select a qualifier in a given category or if there are several locations for one category (see Activities on Site category in FIG. 4 if the user does not want to require further amenities at the hotel), the blank term is scrolled to, displayed and selected by the user.
A location will not display a "blank" as one term in the list if the user is required to choose a term for that particular category in order to search through a particular data base or to interact with the selection process. For example, if price must be specified, in the example of FIGS. 1a and 1b, the Price list will not have a blank term, hence it will not be possible to rotate a "blank" field term to the visible display location L1.
In general, when all terms of interest have been rotated to the visible position (i.e., displayed) and "blank" spaces are in place where qualifiers are not to be used in the search, the records that meet the user's criteria are identified by an appropriate search through the data base. The programming steps necessary to search through the data base may vary from one situation to another. Principally, these steps are determined by the structure of the data base and the preferences of the programmer designing the search routine. Specific techniques of data base management are not encompassed by this invention. However, the method of presenting all possible decision making categories (or at least a large number thereof) at one time to the user and displaying the terms selectable for those categories in a most efficient order is the thrust of this invention. Hence, the invention is considered substantially independent of data storage and retrieval techniques such as indexing, coding or linking fields.
Once the data base records have been searched and the records selected and obtained or made available, the user may read the records, i.e., display the records on the video terminal, transfer them to some other device such as a printer, find out how many records are in the data base that contain all the search terms selected by the user, or perform other operations of interest. If the number of records found is too large due to the selected set of search terms, or too small for a given purpose, the user may choose to change the set of search terms and conduct either a more restricted or less restricted search by modifying the terms. This modification is easily accomplished because all the search terms previously selected are displayed proximate to the category. The general features of the present invention are presented below from the viewpoint of the programmer setting up or structuring the applications program for the ultimate user.
Lists of terms are constructed in one of two ways: they are either (1) developed "logically" from what is already known about how the information in a particular data base is classified and used, (called herein "fixed" or "static" lists), or (2) they are built "dynamically" from the data records (dynamic lists herein). Since lists developed logically utilize existing knowledge about the content of the data base, these lists have a "fixed length", i.e., a fixed number of terms, and hence are called "static" lists because they do not change unless the programmer changes the program.
Static lists are constructed from the theory or expectation of the use of the data base. They are prepared in advance of the use of the applications program and do not require an interactive search through the data base as compared to dynamic lists. Static lists may be modified from time to time as the structure of the data base changes by a programmer skilled in the use of the applications program that is the subject of this invention. Nonetheless, these lists are considered static because during the use of the applications program, the list does not change.
For example, using color as a decision making category (FIG. 1a), a list of all color choices can be sequentially displayed and used in selecting records from a data base. A short list would consist of:
Each of these terms is individually displayed upon actuation of the scroll control key, herein the tab key (-TAB-). The terms appear only once at any display location even if there was more than one record with the same color data field. Also, the terms appear even if there are no records having those colors.
The color category list can also be constructed dynamically. A dynamic list consists of all terms that appear at least once in a field in all the records in the data base, i.e., it consists only of data that is obtained from the data base. If at a given time, the color data field only consists of Blue, Bluegreen, Green, and Red, and a new record is added to the data base having a color data field Green, there is no change in the dynamic list that is constructed during the use of the present invention. However, if the Color data field on the new record is Yellow, when the dynamic list for the color category is generated, the term "Yellow" will then appear in the list. In dynamic lists, every term that appears in the list can be found in one record in the data base because the terms in the list correspond to the particular data fields extracted from the presently available records. In a sense, the data fields are converted from information fields to search terms available for selection by the user.
Decisions to use static or dynamic lists for decision making category in any particular data base search are made on the basis of the advantages and disadvantages of each kind of list. Static lists anticipate all choices even if there are no records that satisfy the choice at the time the list is constructed. They do not require a search of the data base to produce the list of terms, i.e., the list is not interactively formed in conjunction with the data base. Dynamic lists present only terms that have at least one corresponding record. Dynamic lists give an accurate, up-to-date list of terms that actually appear in the data base. For extremely large data bases or when search capability (such as hardware, software, speed or cost) is limited, static lists may be more efficient because the search time to develop the dynamic list may be lengthy. However, if the search capability is adequate (or if the data base is small), dynamic lists may be preferable because at least one "hit" or record is always available. Further, if the data base is continually changing (if the merchandise in a particular color readily sells out) then dynamic lists may be preferable because the buyer of the merchandise is more concerned with availability of the product. It may also be preferable to allow the user to choose whether a dynamic list or a static list is appropriate for a particular category; however, this assumes a relatively sophisticated user who understands the distinctions between static and dynamic lists.
There are several refinements to increase the efficiency of the presentation of long lists by minimizing the number of key strokes (-TABs-) necessary to scroll through a list of terms to display the desired term on the screen, i.e., to move the term to a visible position on the screen.
Taking Previous Decisions into Account: The list of terms that is presented at any display location on the screen is either a static or dynamic list. It may be the entire list available for that location or, depending on previous decisions or a required character string input, it may be a subset or a segment of terms on the list.
A portion of the list will be presented at a location if earlier selections indicate that only some terms in a list are valid choices. For example, a product for sale in a merchandise data base may be available at $20.00, $15.00, $10.00 and $5.00 in Blue, Bluegreen, Green, Red and Yellow but Blue and Green products are the only ones available at $5.00. If the lists are dynamic and a Price term has been selected, the list for color will be determined by the price that has been chosen. Thus, if the user selects $10.00 as a qualifier, all five colors will be rotated at the price location (because all five colors are available at $10.00); however, if the user selects $5.00 as the qualifier, only two colors, Blue and Green, will be rotated at the Color location. Similarly, if the user selected color first, $20.00, $15.00, $10.00 and $5.00 is rotated if Blue or Green were chosen as qualifiers, but only $20.00, $15.00 and $10.00 are rotated at the Price location L1 (FIG. 1a) if Bluegreen, Red or Yellow is selected.
Length of Lists: Lists of terms can be divided into parts or segments. Using only a segment of a list in a rotation increases efficiency of the selection process in situations where there is a high probability that the desired term appears somewhere in the identified segment and a low probability that it appears anywhere else in the list. That is, out of of all possible terms Ts, a segment, ts is identified for rotation if there is a high probability that the desired term Tx will be found in segment ts. Segment ts is a subset or sublist of list Ts.
For example, if a list consists of proper names in alphabetical order, a segment may be defined as all names starting with the same first letter. If the user is looking for the name "Holiday" (FIG. 5), all H's in an alphabetic list of hotel names is the list segment. The list segment is also called a "sublist" herein. In this case the terms that are "held behind the screen," but can be rotated or scrolled to the visible position, are limited to those which start with H.
To segment the list, the user is prompted to input a character string. Herein, the term "character string" means one or more keyboard characters which can be alphabetic, numeric or otherwise. After inputting the character string, a match between one or more of the characters in the string and the terms in a static list is found. For dynamic lists, the input character string is used to limit or focus the search through the data base while forming the dynamic list. The term "search limiter string" describes this type of input character string herein.
If the user mistypes any letter beyond the first letter of the input character string, the program can be designed as shown below to list the correct name somewhere in the list segment. Perhaps the desired hotel name starts with "Hal" instead of "Hol", if an H list is used to form the list segment, the user can scroll through the H list to find the desired term without examining the names that start with some other letter.
When the applications program of the present invention is first implemented for any data base, theory and experience with other data bases are used to determine whether a categorical list will be segmented. Important characteristics to consider are: (1) length of lists, (2) organization of lists, and (3) expected error patterns of the users. In the above example of names in alphabetical order, the probability of making an error in the second letter, which is a vowel, is much greater than the probability of making an error in the first letter. Therefore, it is useful to put all the "H" names in the segmented list of hotel names and therefore allow the user to scroll through that list. If the sublist of H Hotel Names was very long and if the users are skilled typists and familiar with the spelling of the terms that appeared in the lists, the decision to segment on the basis of the first two characters of the input character string might be made.
If the user/typist is very skilled, they may be expected to correctly type all the letters of a desired term as an input string. This may be preferable if a record included a data field having a textual abstract of an article (the subject of the record). In that case, the data base supplier expects the user to search the abstract using key words. The static list would include all key words. The user would be required to input almost a complete key word as a character string to segment the key word list. For example, in a legal data base including court decisions, the user inputs "contract" and the segmented list includes all the key words that have "contract" in their phrases. Based on the narrowed sublist, the user scrolls through the list to identify and select one or more key word phrases. The sublist could be used at multiple display locations to facilitate formation of a string search command. The multiple key word phrases can be logically connected together via selectable logical operators such as "and" or "or". When the string search command is fully formed, the textual abstract is searched using the string command and an appropriate number of records are found and reported.
As a data base is actually used, actual error patterns and selection patterns can be used to improve the efficiency.
Order of Lists: The system or program operates more efficiently if the lists of terms are ordered alphabetically, numerically or chronologically because, if the user can logically predict the position of a desired term in a list being "held behind the screen", the term can be easily displayed by scrolling forward (-TAB-) or backward (-BKSP-) through the list.
When there is no inherent linear or logical order to lists, each list is ordered according to the probability that a particular term is the desired term. The most likely term is initially displayed as T0, the second T1, third T2, the fourth T3 and fifth T5 assuming only a forward scrolling control.
Determining the First or Starting Position: Efficiency is increased by identifying the term that holds the highest probability of being the desired term and displaying it first in the visible position, with the other terms in the list or list segment held "behind the screen", ready to be rotated forward if need be. For example, if the user inputs the character string Hol in response to the prompt at the currently selected category of Hotel Name, it is more probable than not that those three letters are the correct ones (see FIGS. 4 and 5). Therefore, in a list that is segmented to hold all H Hotel Names, the first name starting with Hol is initially displayed on the screen. When the term is correctly predicted, no scrolling key strokes are necessary, because selection of the term is made by actuating the select control (return (-R-)) and the cursor moves to the next category.
Preferably, the term that appears first in the list is marked with a symbol such as [ ] or ***. If the user does rotate the list, recognition of the starting position is provided by the symbol. This is shown in the static lists of FIG. 4 and in the segmented list in FIG. 5. If the user indicates that the term should start with "Hol", the term "***Holiday Inn" is first displayed. Using the rotating drum metaphor, it will appear on the screen as illustrated in FIG. 5.
Required User Input Fields: Each category that is segmented and/or has a starting position determined by the user requires an "input field" as well as a unique display location on the screen for displaying the input. This is shown in FIG. 4 by the dashed boxes immediately above the dynamic list display locations for City, Hotel Name and Reference categories. By requiring the user to type in an input character string, the segment and/or the starting position of the list or segment is found. The details of this subroutine are discussed with respect to FIGS. 9, 11 and 12. The positioning of the input field on the computer screen is not critical. For instance, the input field may be immediately above the coordinates of the display location for the list that the input will influence or it may be at the same coordinates. As an alternative, the input fields may also be grouped along the top or bottom of the screen so that the user inputs all required information before any of the lists or segments are displayed. Of course, input fields can be associated with static lists as well as dynamic lists.
There are two situations in which the characters input by the user in the input field cannot result in a starting position and/or segment that is exactly what the user expects. Assume N letters are input as a character string. In one case, the list does not contain a term starting with all of the N letters typed. For example, the user might type Hol, to identify a starting position in a list that has terms starting with Ha and Hu, but not Ho. In such situations, a segment is generated that starts with a term having as many characters as can be matched to the input character string. The segmented list would start with Ha since only H matched. Further, to give the user some kind of "feedback" to explain why the initial term that appears is different than what was requested; a message or prompt appears at the bottom of the screen stating: "No segment found starting with Hol. This segment starts with Ha".
In the second situation, none of the N characters input by the user match any term in the list. For example, the user inputs Hol to identify a starting position in a list where there are no terms starting with H. In this situation, the program either selects some starting position or segment that is logically prior to the input string and gives the user feedback similar to the prompt described above or, depending on the structure of the list, the program may direct the user to input a further or a different character string in the input field. In the latter case a second feedback statement is presented on the screen which instructs the user to input different characters. It may say "No segment starting with H. Identify a new starting position."
Required Control Line: Most locations on the screen display static or dynamic lists containing terms that specifically refer to the data base. However, one static list, positioned at or near the bottom of the screen in FIG. 4, is needed to give the user control over the applications program. At a minimum, this list is a Control Command list that allows the user to exit the program or execute the search. More realistically, it gives the user several choices of how to proceed. The following kinds of control commands are considered typical of those that appear on the required control line:
*** Give Number of Records
Display Present Records
Display Previous Records
In this example, these terms have the following meaning:
______________________________________Give Number of Records Display a count of the number of records that satisfy all the displayed and selected terms (i.e., qualifiers) that are now shown on the screenDisplay Present Records Display the records that satisfy all the qualifiers that are in the visible position on the screenDisplay Previous Records Display the records that satisfy all the qualifiers shown on the screen before the most recent modification of the qualifiersQuit Exit from the applications programClear Screen Remove all the displayed terms or qualifiers from the screen and allow the user to begin again (reinitialize program)Modify Selections Allow the user to change some or all of the terms or qualifiers beginning from a predetermined location______________________________________
At its assigned sequential position in the Control Command list, "*** Give # of Records" appears initially on the screen because it is the most often selected term. As described above, the "***" identifies the first displayed term. The two next most often selected terms are Display Present Records and Modify Selections so they appear in the T1 and Tn positions. Each takes one key stroke to be brought to the visible position of the screen (either (-TAB-) or (-BKSP-)). Quit, the term least likely to be selected, is the farthest from the starting position and would take the greatest number of key strokes to be brought to the visible position on the screen. An illustration of the rotation concept is schematically shown in FIG. 6.
The Required Control Line can give choices that are different than the ones discussed above. For instance, instead of an option to modify beginning from one location on the screen, there could be separate options to modify terms at specified categories. The terms could be "Modify Name", "Modify Address", et cetera. If the categories were numbered, the terms could be "Modify 3", "Modify 4", et cetera could be used.
Optional Control Lines: There may also be one or more Optional Control Lines, usually at or near the top of a computer screen. Optional control lines may indicate how terms are to be combined to search through a particular data base. All Control Lines, whether required or optional, are static lists. The exact organization of such lists is based upon the data retrieval methodology for the particular data base being searched. The terms can be written so that the user can choose to have the program skip some categorical locations if the qualifiers or terms at those locations are antithetical or contradictory to other terms. For example, in FIG. 4, there is a practical reason for deciding that hotels must be selected either by their proper name or by their physical characteristics such as size and building type (but not on both). The secondary or optional Control Line is the Search Method category that specifies those choices so that the user must select a decision path from the list. Two of the terms available for display on the secondary control line, Search Method, are City & Name of Hotel and City & Hotel Criteria.
If the user selects the first term, the program moves the cursor to the City category, requires the user to select a city search term, moves the cursor to the Hotel Name category and requires an input selection but the program will not allow the user to identify a hotel by its physical characteristics, i.e., rate, size, etc. Conversely, if the city and hotel criteria term is selected as the qualifier, the user will select city and rate, size, meeting rooms, etc., features but the user is not allowed to select a Hotel Name term as a qualifier.
The Optional Control Line can also be used to have the program link qualifiers or search terms using any of the three logical connectors: "or", "and" or "not". Examples of control terms that link qualifiers are given below. The substantive terms are taken from the list of terms describing members of a professional legal organization.
Professional Membership or Professional Rating
Most Recent Degree and Years Experience
Specialty, not Employed by One Client
Here, if the first term is selected, the user is required to identify members by either the professional groups, e.g., American Bar Association, which they are a member of or the rating that they have been given by a professional rating system, e.g., by Martindale & Hubbel. The second term demands that the user identify members by the their most recent academic degree and the number of years of experience. The logical connectors are underlined above. The last example given indicates that members are identified using the name of their specialty so long as they are employed by more than one client.
The above example assumes a structured data base listing members of a large professional organization. Qualifiers could include the following: name of member; city and state where profession is practiced; name of firm where employed; name of undergraduate college and degrees awarded; name of graduate school or college and degrees awarded; most recent degree; date of most recent degree; name and date of most recent continuing education session attended; specialty of member; specialty of firm where employed; size of firm where employed; rating given member by professional colleagues; rating given firm where employed; number of years in profession; names of key clients; et cetera.
If a secondary Control Line is used, the cursor will not necessarily move consecutively from one location to another. It may skip some locations or go to a location near the bottom of the screen and then to one closer to the top of the screen. When this is done, the program moves the cursor past the locations that are not relevant and does not allow any selection to be made in those categories.
The following is a description of one embodiment of the applications program of the present invention. In general, FIG. 7 shows a flow chart for the initial steps of this program which is unique to the hotel data base described earlier. FIG. 8 is a flow chart that is generally applicable to many embodiments of the present invention. FIGS. 9, 10, 11 and 12 are flow charts showing various subroutines which increase the efficiency of the applications program in accordance with the principles of the present invention. FIG. 13 is a D type flow chart showing the control routine for the particular hotel data base embodiment. FIGS. 7-13 are associated with the display shown in FIG. 4. FIG. 14 illustrates the data base structure of the hotel data base provided as an example herein.
FIG. 7 depicts a flow chart of the initial steps involved in one embodiment of the present invention. As discussed above with respect to FIG. 4, the cursor initially is proximate the Location category. The user is prompted to input either a two character state code (e.g., VA) or a three character airport code (e.g., DCA) in step 110. After the user has input the two or three character string, shown in the flow chart as (-N Keys-), the user can either actuate the space bar (-Sp-) or actuate the enter or the return key (-R-). The decision step 112 reflects the user's actions. Herein, when the user must provide some input into the applications program, the flow charts designate the -N keys-, or some type of control input such as -R-, -TAB-, or -BKSP-.
In step 114 all the state codes or airport codes are linked with logical connectors "and" and in step 116 a search through the data base (shown as Data Base0) is conducted to obtain Data Base1 as a subset of Data Base0. Subset Data Base1 includes all the records having the unique state or airport codes. Step 118 simply shows the interconnection between the flow chart illustrated in FIG. 7 and the flow chart illustrated in FIG. 8.
In FIG. 8, step 10 indicates that the method begins with an existing data base, Data Base1, and variable D is set to Data Base1. The Category Counter, C, and the Location Counter, L, are initialized to 1 in step 11. The currently selected category (i.e., the category under the user's scrutiny) is defined by variable C and the current display location on the computer screen is defined by variable L in step 12.
For ease of understanding, FIG. 8 beginning with step 13 is analyzed in two parts. The first part, from steps 13 to 24, describes four different paths that may be used to identify the term that is to be displayed on the computer screen. The second part, from steps 25 to 33, describes how the user selects a term or qualifier from the available terms in the list and how the applications program advances to the next Category and to the next Location as needed.
Identifying the Term: The first decision step 13 determines if a dynamic list is to be used. If the list is dynamic, it is determined if the list is to be segmented in step 14. If a dynamic list is not segmented, the program identifies and orders all possible terms that can be selected for that Category from the data base in step 15. FIG. 10 presents the detail of this subroutine and is discussed later. Next, it is determined if the user is to select the starting position of the list in step 22. If that is the case, the user inputs N characters of an input character string into the designated input field on the screen in step 23 and that information is used to identify the term that is to be initially displayed in step 24 and displays that term at the appropriate location in step 25. FIG. 12, described later, sets forth the subroutine in step 24 in greater detail. If the user does not need to select the starting position of the list per decision step 22, the first term in the list is displayed in step 25. This completes the term identification procedure for non-segmented dynamic lists.
If a dynamic list is to be segmented per step 14, the user inputs N characters of an input string in at the designated input field in step 16. It should be noted that the program and not the user determines the decisions in steps 13, 14, 19, 22, 30, 33 and 130. Decisions in steps 13 and 14 are based on the specific category under consideration. For example, if the data base is changing rapidly, a dynamic list is used for a particular category. This selection is the programmer's choice and not the user's. Likewise, if the list is long, the list is segmented per the programmer's discretion.
Using the N input characters supplied by the user in step 16 (note the -N keys- designation), the program identifies and orders the appropriate segment of all possible terms that can be selected for the Category from the data base and identifies the starting position of the newly formed dynamic list in step 17. This is explained in further detail with respect to FIG. 9. The first term is then displayed at the appropriate location on the screen at step 25. This completes the term identification procedure for segmented dynamic lists.
If it is determined that a dynamic list is not being used in step 13, the program identifies the appropriate static list for that Category in step 18 and determines if the list is to be segmented in step 19 based on the particular category. The fixed or static list is stored in memory. If the list is to be segmented, the user types N input characters in the designated input field at step 20. The program then removes terms from the static list that do not match at least one character of the N input characters in step 21 and displays the first term in the visible position on the screen in step 25. FIG. 11 describes step 21 in greater detail. This completes the term identification procedure for static lists that are to be segmented.
If it is determined that the static list is not to be segmented in step 19, it is then determined if the user must select the starting position of the list in step 22. If the starting position is to be selected, the user types N input characters (step 23), which are then used to identify the first term (step 24) to be displayed in the visible position of the screen (step 25). FIG. 12 describes step 24 in greater detail. If the starting position is not to be selected by the user (step 22) the first term in the static list is displayed at step 25. This completes the term identification procedure for logical lists that are not segmented
Selecting the Term: In summary, one term from a list or segment of a list for a particular Category, selected using one of the four decision paths described above, is displayed in the visible position at a particular Location on the screen (step 25). The user then determines if the displayed term is the desired term or desired qualifier (step 26). If it is not, a decision is made to examine the terms held "behind the screen" to find the desired term or qualifier (step 27). If the term is likely to be in the "forward" direction in the rotation, the user types the forward scroll control key (-TAB-) that rotates the list of terms "forward" and the next term is displayed on the screen (step 28). If the user determines that the qualifier is likely to occur in a position that is "backward" in the rotation, the user types the reverse scroll control key (-BKSP-) that rotates the list of terms in the opposite direction and the "previous" term is displayed on the screen (step 29). When the displayed term is the desired term or qualifier (step 26), the user actuates the select control key (-R-) and selects the term.
Thereafter, the program determines if another list of terms should be presented for the same Category or if additional terms from the same list should be presented for the same Category (step 30). If so, the first term in the new list or the next term in the old list is displayed at the next location on the screen (step 31) and the process of selection begins again. For example, in FIG. 4 there are three locations for desired terms in the category of "Activities on Site". However, the same static list is used for all the display locations and, in one embodiment, when the first term is selected, the next term displayed is the term sequentially following the first displayed and selected term. Alternatively, since the user only selects Pool, Golf and Tennis terms once, the same list is used and the program simply deletes or makes unavailable the previously selected term.
When all qualifiers have been selected for a particular Category, the program searches through the Data Base1 (in the first instance), excludes records that do not contain terms chosen for that Category (step 32), thus reducing the number of records being considered, creating Data Base2 as a subset of Data Base1 and setting variable D equal to Data Base2. The program then determines if there are any additional Categories to be used in the selection process (step 33). If there are, the method advances to the next Category and advances to the next Location on the screen (step 34) and the process begins again. Otherwise, step 130 determines if a particular category Cx has been dictated by an Optional Control Line, e.g., the Search Method category in FIG. 4, and then sets C equal to Cx (and L=Lx). For example, if City and Criteria were selected (FIG. 4) the next selected category is City, then the following category is Rate wherein the Hotel Name and Reference categories are jumped over.
If no additional categories are to be currently selected per decision step 33, the program jumps to the Control Routine shown in FIG. 13.
The detail for generating a dynamic list from a data base is described in FIG. 9. As stated earlier, the programmer designates or determines which categories utilize static or dynamic lists, which lists are to be segmented or subdivided and which lists require a start position. In this sense, a category is assigned a dynamic list function. FIG. 9 is applicable to a dynamic list that is segmented and wherein the starting position of that list is under the control of the user. FIG. 9 is a clarification of step 17.
To begin, N is an integer set equal to the number of characters in the character string input by the user; n is an integer set equal to the number of characters used by the subroutine to identify the segment; d is initialized to be the first record in the data base, D (step 51). "Term" is set equal to the data field present in the field that corresponds to Category C in the current record d (step 52). As stated earlier, data field is a value representing the information in a field of a record.
If the first n characters of "term" match the first n characters of the input character string input by the user (step 53), "term" is added to the list (step 54). This begins the formation of a new dynamic list since "term" is then considered to be a search term or data set in the list. It is then determined if there are more records d in data base D (step 55). If there are, d is set equal to the next record in D (step 56) and the value of "term" is updated (step 52) to the next data field in the next record.
When there are no more record d's , it is determined if there are any terms (i.e., data sets) in the list (step 57). If the list does not contain any terms, there are no terms available for the user to select as a qualifier. A "feedback message" is then presented (message #1) that informs the user that there is no segment starting with any of the letters chosen and suggesting he start again by typing a different set of characters (step 58). If the list is not empty, it is put in order and duplicate terms are eliminated (step 59). The correlation between the searched out records and the terms in the dynamic list is ignored.
To identify the starting position of the newly formed dynamic list, an integer NUM is initialized to N (step 60). If there is a term in the list that matches the first NUM characters of the input character string (step 61), that term is placed in the first visible position on the screen and marked with the symbol *** that indicates the beginning of a list (step 62). If there is no term in the list that matches the first NUM characters, NUM is decremented (step 63) until a match is found. Because N is greater than n and n is used to identify the segment, there will always be a match of at least n characters. In such a case where NUM is decremented, the term most closely matching the input character string is then marked and placed in the first visible position on the screen. Since the list will be starting with a term somewhat different than the term the user specified, a second "error message" (message #2) is presented. It will inform the user that there is no segment starting with all the letters typed, but that the first term starts with NUM letters (step 65).
The detailed flow chart for generating a dynamic list from a data base that is not segmented is described in FIG. 10. It is an expansion of step 15 in FIG. 8. To begin, variable d is initialized to equal the first record data base, D, (step 41). Variable d is set equal to the first record in data base D or set equal to all the fields in the record (the entire record is available to the program). The variable "term" is set equal to the data field in record d. The data field is in a field of the record that corresponds to the currently selected Category C (step 42). The "term" is added to the list (step 43). In another sense, data field is converted to a search term.
If there are more record d's in data base D (step 44), d is set equal to the next record in D (step 45) and the value of "term" is updated to equal data field from the new record (step 42). As stated earlier, data field is a value or a piece of information.
When there are no more additional record d's, the list is put in order and duplicate terms are eliminated (step 46). Any logical order (alphabetical, chronological, numerical, etc.) can be used. The duplicates are removed because the correlation between the data fields and the records is disregarded. The important aspect is that each term in the dynamic list corresponds to at least one record in existence in the data base.
The detailed flow chart for generating sublists from static lists and identifying a starting position for the sublist is presented in FIG. 11. FIG. 11 is a clarification of step 21. To begin, N is set equal to the number of characters input by the user; n is set equal to the number of characters used by the program to identify the segment; t is initialized to be equal to the first term in the list (step 71). If the first n characters of term t do not match the first n characters of the input character string (step 72), term t is removed from the list (step 73). If there are more t's in the list (step 74), t is set equal to the next term in the list (step 75). When there are no more terms in the list, it is determined if the list is empty (step 76). If the list is empty, "message #1", as described above, is presented (step 77).
To identify the starting position of the list, initialize integer NUM to N (step 78). If there is a term in the list that matches the first NUM characters of the character input string (step 79), place that term in the first visible position on the screen and mark it with the symbol *** that indicates the beginning of a list (step 80). If there is not a term in the list that matches the first NUM characters, NUM is decremented (step 81) until the closest match is found. If, after such a match is found, NUM does not equal N, "message #2" is presented (step 83).
The detailed flow chart for identifying the starting position in dynamic and static lists that are not segmented is presented in FIG. 12. FIG. 12 is a clarification of step 24. To begin, integer N is set equal to the number of characters input by the user (step 91). NUM is initialized to N (step 92). If there is a term in the list that matches the first NUM characters input (step 93), that term is placed in the first visible position on the screen and marked with the symbol that indicates the beginning of a list (step 94). If there is no such match, NUM is decremented (step 95) until a match is found or until NUM=0. If NUM is decremented to 0 (step 95), indicating that no match was found, "message #1" is presented (step 97). If a match is found, that term is placed in the first visible position on the screen and mark it with the symbol that indicates the beginning of a list (step 94). If NUM is not equal to N (step 98), "message #2" is presented in step 99.
FIG. 13 illustrates the flow chart of the control subroutine. FIG. 13 is a D type flow chart as is recognized in the art. The various steps are clearly laid out in that FIG. It is to be noted that "D" represents the ultimate data base subset having all the records retrieved using the displayed and selected search terms obtained by operation of the program. Either the program retrieves the entire record or maintains a list of the accession numbers of all the records found using the search terms. Therefore, under the Display Present Records routine, the first record from D is obtained and then displayed. In addition, a status line is included showing "# of D", such as "1 of 10", identifying that this record is the first record of 10 records in the Data Base subset D. As shown at the end of that routine, actuating the return (-R-) key calls back the "filled out" screen with all the displayed and selected terms are shown thereon. The other routines, such as Modify Selections, were described earlier.
FIG. 14 is a schematic of the data base structure for the particular embodiment of the hotel data base. To speed the search of the data base, certain indexes are formed from the main file. For example, Index a is the State/City Index. Each item in Index a includes a two letter state code followed by the first letter of the city in the particular state. Thereafter, some type of identifier or correlator between Index a and the main file is present which is illustrated in FIG. 14 by address 2 and address 4 symbolized by Ad2 and Ad4. The index is formed primarily to speed the generation of the dynamic list for the applications program. However, when the dynamic list is anticipated to be relatively small (for example, less than 50 records), an index to the main file probably is not necessary. Index b is the three character airport code for the main file. Index c is the state code, entire city, and the first letter of the hotel name. Index d is the two character state code, the first character of the business reference. All index records, shown by the boxes in the index files, include the relevant addresses of the records in the main file. For example, record 4 in the main file relates to the Marriott Gateway Hotel in Arlington, Va., very near Washington National Airport (DCA) and also relatively near the Pentagon, the headquarters of the U.S. Department of Defense. The index files for main file record 4 are shown in FIG. 14.
The present invention can be used in conjunction with a data base that is commercially available and accessible via a telecommunications network. The following example uses DIALOG Information Retrieval Service, File 150, Legal Resource Index (herein LRI). The LRI data base file includes law and law related literature and DIALOG provides search capabilities through the data fields in the fields of each record.
The available fields to search are shown in FIG. 15. For simplicity, consider the following fields for a screen display.
______________________________________Article Type Journal NameAuthor JurisdictionCase Name Publication Year______________________________________
The screen can be set up as shown in FIG. 16.
To access the LRI data base, one unique key or one field unique to each record is required. In this case, each record has what DIALOG calls an "Accession Number". If there was no unique key for each record, the programmer would build a table and number the records as they appear in the file (i.e., the first record would be referenced as #1, the second as #2, etc.).
Next, a MATCH TABLE is established in the computer accessing the LRI data base as follows:
MATCH TABLE______________________________________accession #1 . . . match?accession #2 . . . match?o .o .o .accession #n . . . match?______________________________________
For each record in the data base there is exactly one entry in the MATCH TABLE. The "Match?" field is "True" for each entry in the MATCH TABLE at the beginning of the program. This means that when no qualifiers or search terms have been chosen, all the records in the data base could conceivably match the user's search criteria. The MATCH TABLE is used for two purposes: to decrease the size of the considered data base a the qualifiers (search terms) are selected and to build dynamic lists from the current data base.
The cursor would be positioned at the location immediately to the right of the categorical identifier Article Type in FIG. 15. Based upon a description of the LRI data base, the article types are classified as follows:
Letter to the Editor
As described above, the static list could be scrolled through by the user. After the user selects one of the Article Types, the program loops through the MATCH TABLE looking for entries with "Match?"=TRUE. When such an entry is found, the record is retrieved and examined by using the Accession Number from the LRI data base to see if it contains the displayed and selected Article Type. If it does, the MATCH TABLE is not changed and the program obtains the next record per the listed Accession Number. If the record is not of the desired Article Type the program marks the "Match?" field FALSE in the MATCH TABLE. This action means this record does not match the user's criteria and will not be considered in later searches.
To review, the general procedure for eliminating non-matching records after a qualifier (a search term) is selected is as follows. Loop through the MATCH TABLE. For each entry that has "Match?"=TRUE, check to see that the corresponding record in the data base contains the qualifier selected. If it does not, change the "Match?" field for this entry to FALSE.
Next, the program may construct a dynamic list of authors for a certain article type. There are two types of dynamic lists that may be constructed: segmented and non-segmented. First, consider non-segmented dynamic list construction.
If the selected Article Type is a column, the Author list may be formed as a non-segmented dynamic list. When the user's cursor is positioned at the Author location, a search through the LRI data base subset of columns takes place. The MATCH TABLE is used to generate a list of Author terms for the user. Loop through the TABLE looking for entries that have "Match?"=TRUE. Upon finding such an entry, retrieve the record and place the data field for the Author field into the dynamic Author list. After examining all matching records in the data base, sort the Author list and remove duplicate entries. The list is then displayed for the user.
Author could also be a segmented dynamic list. To construct segmented dynamic lists, the programmer must decide on the number of letters that will identify the segment and the number of letters that the user will be able to type to identify the starting position within the list. One solution is to identify segments by the first three letters of each term in the list and to allow the user to type eight letters to identify a starting position. If the user is looking for an author named Brown, he would enter BROWN (Return) on the first line after the "Author:" prompt. Thereafter, the program generates a segment consisting of all authors that begin with the letters "BRO", since the programmer uses three letters to identify a segment. The input character string "BROWN" identifies the starting position within the sublist, because the program uses up to eight letters to identify the starting position.
After inputting the character string, the program loops through the MATCH table looking for entries with "Match?"=TRUE. After finding such an entry, the program retrieves the record and examines the Author field of the record. If the field begins with the same characters the user typed (in this case "BRO"), the program puts the author's name (the data field) into the dynamic Author list. If the data field does not match, the program continues looping through the MATCH TABLE. When all entries with "Match?"=TRUE are examined, the program sorts the Author list and removes duplicate entries. The list is then displayed for the user. After the list is displayed and the user selects one desired term, the MATCH TABLE is used to decrease the size of the data base.
After the user has selected as many terms as desired, the control command list is presented proximate the procedure category. Upon selecting the appropriate command, the remaining records in the MATCH TABLE are searched, retrieved and displayed.
In the claims, each term in the list is called a "data set" since the terms may be a single word, a phrase or series of words interrelated by some logical operator. The particular equipment used in the hotel data base example is a Digital Equipment Corp. MicroVAX computer having a three megabyte memory.
It should be appreciated that techniques are described herein for limiting the user intervention in the first few steps of the hotel data base example, i.e., the selection of a term from the Location category. Therefore, a static list including terms representing state codes and a static or a dynamic list for airports representing the three character airport codes could be incorporated herein. The static state code list would require the user to input at least the first character of the state such that the static list is segmented to certain states (e.g., all states being with "M") so the user does not have to scroll through the entire list of 52 states. The airport code could be listed based upon the closest city to the airport, the airport name itself or other logical item related to the airport as input by the user as an input character string. In an alternative embodiment, the Type of Lodging category is a dynamic list rather than a static list. The formation of such a dynamic list is apparent based on the description herein.
It is important to note that the specific embodiment illustrated in FIG. 4 does not show blank data sets or blank terms in the static lists. Also, the static lists are not complete but are, in fact, abbreviated in order to simplify the explanation of the present invention.
The order of presentation of the categories is primarily based on the expectation of the user and particularly on what questions the user would ask to initially search through the data base.
It is apparent that the present program can be easily linked with a search routine through a data base. It is important to note that the program must obtain the data field for a particular category in a set of records in order to formulate the dynamic list described herein. Therefore, the present invention must be interactive with the data base search routine to utilize this feature.
The claims appended hereto are meant to cover these and other modifications of the present invention.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US3531795 *||20 Sep 1967||29 Sep 1970||Sanders Associates Inc||Bar-type display|
|US3670310 *||16 Sep 1970||13 Jun 1972||Infodata Systems Inc||Method for information storage and retrieval|
|US3792613 *||19 May 1972||19 Feb 1974||Krautkramer Branson||Pulse-echo ultrasonic test apparatus with cathode ray tube digital display|
|US3956739 *||18 Apr 1975||11 May 1976||Ontel Corporation||Data transfer system|
|US3974496 *||30 Oct 1974||10 Aug 1976||Aptroot Soloway Bernard||Data entry systems|
|US4001807 *||3 Feb 1975||4 Jan 1977||Honeywell Inc.||Concurrent overview and detail display system having process control capabilities|
|US4125868 *||28 Oct 1975||14 Nov 1978||Automix Keyboards, Inc.||Typesetting terminal apparatus having searching and merging features|
|US4194349 *||26 Apr 1978||25 Mar 1980||Parks-Cramer Company||Apparatus and method for gathering and displaying information|
|US4221003 *||4 May 1978||2 Sep 1980||International Business Machines Corporation||Bubble domain relational data base system|
|US4278973 *||1 Oct 1979||14 Jul 1981||International Business Machines Corporation||Video display terminal with partitioned screen|
|US4310885 *||6 Nov 1978||12 Jan 1982||Auto-Register, Inc.||Point of sale terminal having prompting display and automatic money handling|
|US4342085 *||5 Jan 1979||27 Jul 1982||International Business Machines Corporation||Stem processing for data reduction in a dictionary storage file|
|US4384329 *||19 Dec 1980||17 May 1983||International Business Machines Corporation||Retrieval of related linked linguistic expressions including synonyms and antonyms|
|US4386410 *||23 Feb 1981||31 May 1983||Texas Instruments Incorporated||Display controller for multiple scrolling regions|
|US4412294 *||23 Feb 1981||25 Oct 1983||Texas Instruments Incorporated||Display system with multiple scrolling regions|
|US4417239 *||24 Dec 1980||22 Nov 1983||International Business Machines Corp.||Interactive combination display|
|US4419756 *||5 Jun 1980||6 Dec 1983||Bell Telephone Laboratories, Incorporated||Voiceband data set|
|US4425627 *||23 Feb 1981||10 Jan 1984||Sperry Corporation||Intelligent prompting terminal apparatus|
|US4434475 *||18 May 1981||28 Feb 1984||International Business Machines Corporation||Method of entering criteria for selecting records of spatially related data stored in an interactive text processing system|
|US4453217 *||4 Jan 1982||5 Jun 1984||Bell Telephone Laboratories, Incorporated||Directory lookup method and apparatus|
|US4464652 *||19 Jul 1982||7 Aug 1984||Apple Computer, Inc.||Cursor control device for use with display systems|
|US4531186 *||21 Jan 1983||23 Jul 1985||International Business Machines Corporation||User friendly data base access|
|US4533910 *||2 Nov 1982||6 Aug 1985||Cadtrak Corporation||Graphics display system with viewports of arbitrary location and content|
|US4535420 *||18 Jun 1982||13 Aug 1985||Sperry Corporation||Circular-queue structure|
|US4550386 *||20 Dec 1983||29 Oct 1985||Hitachi, Ltd.||Terminal controller|
|US4554631 *||13 Jul 1983||19 Nov 1985||At&T Bell Laboratories||Keyword search automatic limiting method|
|US4566065 *||22 Apr 1983||21 Jan 1986||Kalman Toth||Computer aided stenographic system|
|US4580218 *||8 Sep 1983||1 Apr 1986||At&T Bell Laboratories||Indexing subject-locating method|
|US4586035 *||29 Feb 1984||29 Apr 1986||International Business Machines Corporation||Display terminal with a cursor responsive virtual distributed menu|
|US4586036 *||28 Feb 1983||29 Apr 1986||Advanced Computer Concepts, Inc.||Graphics display systems|
|US4633415 *||11 Jun 1984||30 Dec 1986||Northern Telecom Limited||Windowing and scrolling for a cathode-ray tube display|
|US4647916 *||19 Jan 1984||3 Mar 1987||International Computers Limited||Data display control|
|US4648062 *||1 Feb 1985||3 Mar 1987||International Business Machines Corporation||Method for providing an on line help facility for interactive information handling systems|
|US4649499 *||7 Mar 1984||10 Mar 1987||Hewlett-Packard Company||Touchscreen two-dimensional emulation of three-dimensional objects|
|US4656603 *||1 Mar 1984||7 Apr 1987||The Cadware Group, Ltd.||Schematic diagram generating system using library of general purpose interactively selectable graphic primitives to create special applications icons|
|US4660154 *||6 Apr 1984||21 Apr 1987||Tektronix, Inc.||Variable size and position dialog area display system|
|US4663617 *||21 Feb 1984||5 May 1987||International Business Machines||Graphics image relocation for display viewporting and pel scrolling|
|US4694406 *||12 Apr 1985||15 Sep 1987||Nippon Telegraph & Telephone||Apparatus for displaying scrolling images|
|US4710762 *||22 Nov 1983||1 Dec 1987||Hitachi, Ltd.||Display screen control system|
|US4723209 *||30 Aug 1984||2 Feb 1988||International Business Machines Corp.||Flow attribute for text objects|
|US4734689 *||24 Feb 1986||29 Mar 1988||Casio Computer Co., Ltd.||Display apparatus which can scroll displayed data with regard to cursor position|
|US4736308 *||10 Jul 1985||5 Apr 1988||Quickview Systems||Search/retrieval system|
|US4752889 *||18 Aug 1986||21 Jun 1988||Neuron Data, Inc.||Dynamic, interactive display system for a knowledge base|
|US4754326 *||25 Oct 1983||28 Jun 1988||Keycom Electronic Publishing||Method and apparatus for assisting user of information retrieval systems|
|US4763356 *||11 Dec 1986||9 Aug 1988||AT&T Information Systems, Inc. American Telephone and Telegraph Company||Touch screen form entry system|
|US4779080 *||6 Mar 1986||18 Oct 1988||U.S. Philips Corporation||Electronic information display systems|
|US4789962 *||30 Jul 1987||6 Dec 1988||International Business Machines Corporation||Methods of displaying help information nearest to an operation point at which the help information is requested|
|US4794386 *||11 Apr 1986||27 Dec 1988||Profit Technology, Inc.||Data integrator for video display including windows|
|US4799083 *||22 Jun 1987||17 Jan 1989||Xerox Corporation||Machine-operator interface methods|
|US4947370 *||10 Mar 1989||7 Aug 1990||Canon Kabushiki Kaisha||Word processor for simultaneously displaying and scrolling documents and the corresponding titles|
|US4954967 *||20 Dec 1989||4 Sep 1990||Canon Kabushiki Kaisha||Information processing apparatus|
|US4992972 *||18 Nov 1987||12 Feb 1991||International Business Machines Corporation||Flexible context searchable on-line information system with help files and modules for on-line computer system documentation|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US5278980 *||16 Aug 1991||11 Jan 1994||Xerox Corporation||Iterative technique for phrase query formation and an information retrieval system employing same|
|US5367619 *||10 Jan 1994||22 Nov 1994||Eaton Corporation||Electronic data entry system employing an expert system to facilitate generation of electronic data forms with complex interrelationships between fields and subforms|
|US5377348 *||4 Jun 1992||27 Dec 1994||International Business Machines Corporation||System for searching a data base by creating a marking matrix in which two dimensional patterns control the search and selection|
|US5408655 *||18 Jun 1992||18 Apr 1995||Apple Computer, Inc.||User interface system and method for traversing a database|
|US5428778 *||13 Sep 1994||27 Jun 1995||Office Express Pty. Ltd.||Selective dissemination of information|
|US5469354 *||28 Feb 1992||21 Nov 1995||Hitachi, Ltd.||Document data processing method and apparatus for document retrieval|
|US5499360 *||28 Feb 1994||12 Mar 1996||Panasonic Technolgies, Inc.||Method for proximity searching with range testing and range adjustment|
|US5504852 *||2 Mar 1995||2 Apr 1996||Apple Computer, Inc.||Method for creating a collection of aliases representing computer system files|
|US5513348 *||9 Jun 1995||30 Apr 1996||Fujitsu Limited||System for relational database retrieval through a link file built to access components of relational tables|
|US5544352 *||14 Jun 1993||6 Aug 1996||Libertech, Inc.||Method and apparatus for indexing, searching and displaying data|
|US5544360 *||3 Feb 1995||6 Aug 1996||Paragon Concepts, Inc.||Method for accessing computer files and data, using linked categories assigned to each data file record on entry of the data file record|
|US5600827 *||18 May 1994||4 Feb 1997||Seiko Epson Corporation||Data management, display, and retrival system for a hierarchical collection|
|US5606691 *||10 Nov 1994||25 Feb 1997||Harman Interactive Inc.||Method of searching a database using selected criterion having implicit logical operation|
|US5630117 *||13 Mar 1995||13 May 1997||Apple Computer, Inc.||User interface system and method for traversing a database|
|US5671411 *||7 Jun 1995||23 Sep 1997||Intel Corporation||Method of searching an audio/visual programming database using selected criterion having implicit logical operation|
|US5715444 *||14 Oct 1994||3 Feb 1998||Danish; Mohamed Sherif||Method and system for executing a guided parametric search|
|US5715445 *||7 Jun 1995||3 Feb 1998||Wolfe; Mark A.||Document retrieval system employing a preloading procedure|
|US5737737 *||19 May 1993||7 Apr 1998||Canon Kabushiki Kaisha||Data management method and apparatus|
|US5742813 *||12 Sep 1995||21 Apr 1998||Cadis, Inc.||Method and apparatus for concurrency in an object oriented database using lock inheritance based on class objects|
|US5761655 *||10 Mar 1994||2 Jun 1998||Alphatronix, Inc.||Image file storage and retrieval system|
|US5768581 *||7 May 1996||16 Jun 1998||Cochran; Nancy Pauline||Apparatus and method for selecting records from a computer database by repeatedly displaying search terms from multiple list identifiers before either a list identifier or a search term is selected|
|US5778356 *||8 Nov 1996||7 Jul 1998||Cadis, Inc.||Dynamically selectable language display system for object oriented database management system|
|US5781904 *||1 May 1997||14 Jul 1998||Apple Computer, Inc.||User interface system and method for traversing a database|
|US5786819 *||11 Jun 1996||28 Jul 1998||Xerox Corporation||One button searching of long lists|
|US5799308 *||4 Oct 1994||25 Aug 1998||Dixon; Robert||Method and apparatus for data storage and retrieval|
|US5816717 *||10 Feb 1997||6 Oct 1998||Esselte N.V.||Label printing apparatus with character string matching|
|US5826263 *||28 Oct 1996||20 Oct 1998||Seiko Epson Corporation||Data management, display, and retrieval system for a hierarchical collection|
|US5828376 *||23 Sep 1996||27 Oct 1998||J. D. Edwards World Source Company||Menu control in a graphical user interface|
|US5832452 *||31 Jan 1996||3 Nov 1998||Electronic Data Systems Corporation||Hotel database inquiry system|
|US5838965 *||10 Nov 1994||17 Nov 1998||Cadis, Inc.||Object oriented database management system|
|US5842203 *||1 Dec 1995||24 Nov 1998||International Business Machines Corporation||Method and system for performing non-boolean search queries in a graphical user interface|
|US5870737 *||15 Apr 1996||9 Feb 1999||International Business Machines Corporation||Dynamic prioritized replacement of language|
|US5870770 *||28 Jan 1998||9 Feb 1999||Wolfe; Mark A.||Document research system and method for displaying citing documents|
|US5970483 *||25 Jul 1997||19 Oct 1999||Claritech Corporation||Apparatus and methodology for submitting search queries|
|US5983219 *||3 Oct 1997||9 Nov 1999||Saggara Systems, Inc.||Method and system for executing a guided parametric search|
|US5987448 *||25 Jul 1997||16 Nov 1999||Claritech Corporation||Methodology for displaying search results using character recognition|
|US5995979 *||10 Feb 1998||30 Nov 1999||Cochran; Nancy Pauline||Apparatus and method for selecting records from a computer database by repeatedly displaying search terms from multiple list identifiers before either a list identifier or a search term is selected|
|US6006252 *||25 Sep 1997||21 Dec 1999||Wolfe; Mark A.||System and method for communicating information relating to a network resource|
|US6032145 *||10 Apr 1998||29 Feb 2000||Requisite Technology, Inc.||Method and system for database manipulation|
|US6061680 *||16 Jul 1999||9 May 2000||Cddb, Inc.||Method and system for finding approximate matches in database|
|US6169992||8 Nov 1996||2 Jan 2001||Cadis Inc.||Search engine for remote access to database management systems|
|US6185576||21 Oct 1998||6 Feb 2001||Mcintosh Lowrie||Defining a uniform subject classification system incorporating document management/records retention functions|
|US6226631||3 Sep 1999||1 May 2001||Claritech Corporation||Apparatus and methodology for submitting search queries|
|US6275821||26 Aug 1999||14 Aug 2001||Saqqara Systems, Inc.||Method and system for executing a guided parametric search|
|US6278990||25 Jul 1997||21 Aug 2001||Claritech Corporation||Sort system for text retrieval|
|US6292813||17 Nov 1998||18 Sep 2001||Mark A. Wolfe||System and method for communicating information relating to a network resource|
|US6301576||31 Dec 1999||9 Oct 2001||Mark A. Wolfe||Document retrieval system for retrieval of a first search document and a last search document from database|
|US6313833||16 Oct 1998||6 Nov 2001||Prophet Financial Systems||Graphical data collection and retrieval interface|
|US6321224||28 Feb 2000||20 Nov 2001||Requisite Technology, Inc.||Database search, retrieval, and classification with sequentially applied search algorithms|
|US6327588||27 Oct 2000||4 Dec 2001||Saqqara Systems, Inc.||Method and system for executing a guided parametric search|
|US6336131||5 Apr 2000||1 Jan 2002||Mark A. Wolfe||System and method for communicating information relating to a network resource|
|US6363179||11 Jan 1999||26 Mar 2002||Claritech Corporation||Methodology for displaying search results using character recognition|
|US6415281 *||3 Sep 1997||2 Jul 2002||Bellsouth Corporation||Arranging records in a search result to be provided in response to a data inquiry of a database|
|US6453079||11 Jul 2000||17 Sep 2002||Claritech Corporation||Method and apparatus for displaying regions in a document image having a low recognition confidence|
|US6484165||2 Aug 2001||19 Nov 2002||Requisite Technology, Inc.||Method and system for database manipulation|
|US6505198||21 Aug 2001||7 Jan 2003||Claritech Corporation||Sort system for text retrieval|
|US6507839 *||19 Jun 2000||14 Jan 2003||Verizon Laboratories Inc.||Generalized term frequency scores in information retrieval systems|
|US6529898 *||22 Jul 1999||4 Mar 2003||Matthew Shawn Fortner||Method and system for electronically retrieving door hardware data|
|US6584462||25 Sep 2001||24 Jun 2003||Requisite Technology, Inc.||Sequential subset catalog search engine|
|US6604103||9 Oct 2001||5 Aug 2003||Mark A. Wolfe||System and method for information retrieval employing a preloading procedure|
|US6704727 *||31 Jan 2000||9 Mar 2004||Overture Services, Inc.||Method and system for generating a set of search terms|
|US6748376||30 Sep 2002||8 Jun 2004||Requisite Technology, Inc.||Method and system for database manipulation|
|US6754668 *||17 Oct 2001||22 Jun 2004||Raytheon Company||Multilingual system having dynamic language selection|
|US6826559||31 Mar 1999||30 Nov 2004||Verizon Laboratories Inc.||Hybrid category mapping for on-line query tool|
|US6907424||24 Oct 2002||14 Jun 2005||Requisite Technology, Inc.||Sequential subset catalog search engine|
|US7024416 *||4 Oct 2002||4 Apr 2006||Verizon Laboratories Inc.||Semi-automatic index term augmentation in document retrieval|
|US7035864||18 May 2000||25 Apr 2006||Endeca Technologies, Inc.||Hierarchical data-driven navigation system and method for information retrieval|
|US7043526||12 Dec 2001||9 May 2006||Wolfe Mark A||System and method for communicating information relating to a network resource|
|US7047242||31 Mar 1999||16 May 2006||Verizon Laboratories Inc.||Weighted term ranking for on-line query tool|
|US7062483||31 Oct 2001||13 Jun 2006||Endeca Technologies, Inc.||Hierarchical data-driven search and navigation system and method for information retrieval|
|US7103594||1 Jul 2003||5 Sep 2006||Wolfe Mark A||System and method for information retrieval employing a preloading procedure|
|US7139762 *||27 Feb 2001||21 Nov 2006||Microsoft Corporation||System and method for filtering database records|
|US7146362||26 Aug 2003||5 Dec 2006||Bpallen Technologies Llc||Method and apparatus for using faceted metadata to navigate through information resources|
|US7167857 *||29 Oct 2002||23 Jan 2007||Gracenote, Inc.||Method and system for finding approximate matches in database|
|US7216299||31 Aug 2001||8 May 2007||Maquis Techtrix Llc||Interface and program using visual data arrangements for expressing user preferences concerning an action or transaction|
|US7257604||5 Aug 2003||14 Aug 2007||Wolfe Mark A||System and method for communicating information relating to a network resource|
|US7266551||5 Mar 2004||4 Sep 2007||Overture Services, Inc.||Method and system for generating a set of search terms|
|US7302638||29 Aug 2003||27 Nov 2007||Wolfe Mark A||Efficiently displaying and researching information about the interrelationships between documents|
|US7308485||30 Mar 2001||11 Dec 2007||Gracenote, Inc.||Method and system for accessing web pages based on playback of recordings|
|US7325201||16 Oct 2002||29 Jan 2008||Endeca Technologies, Inc.||System and method for manipulating content in a hierarchical data-driven search and navigation system|
|US7428528||31 Mar 2004||23 Sep 2008||Endeca Technologies, Inc.||Integrated application for manipulating content in a hierarchical data-driven search and navigation system|
|US7437749 *||15 Dec 1997||14 Oct 2008||Scientific-Atlanta, Inc.||Interactive subscription television terminal|
|US7478063||31 Aug 2001||13 Jan 2009||Maquis Techtrix Llc||Stock trading application program|
|US7567957||20 Apr 2006||28 Jul 2009||Endeca Technologies, Inc.||Hierarchical data-driven search and navigation system and method for information retrieval|
|US7584079||30 Nov 2001||1 Sep 2009||Configit Software A/S||Method of configuring a product|
|US7617184||21 Sep 2001||10 Nov 2009||Endeca Technologies, Inc.||Scalable hierarchical data-driven navigation system and method for information retrieval|
|US7636732 *||22 Dec 2009||Sun Microsystems, Inc.||Adaptive meta-tagging of websites|
|US7680902||16 Mar 2010||Gracenote, Inc.||Method and system for accessing web pages based on playback of recordings|
|US7725424 *||4 Nov 2002||25 May 2010||Verizon Laboratories Inc.||Use of generalized term frequency scores in information retrieval systems|
|US7739621||31 Aug 2001||15 Jun 2010||Timothy Orr Knight||Interface and method adapted for capturing subjective preferences of program users|
|US7747521 *||29 Jun 2010||First American Corelogic, Inc.||System and method for monitoring events associated with a person or property|
|US7831612 *||9 Nov 2010||Business Objects Software Ltd.||Apparatus and method for generating reports from shared objects|
|US7835986||14 May 2010||16 Nov 2010||Corelogic Information Solutions, Inc.||System and method for monitoring events associated with a person or property|
|US7856434||12 Nov 2007||21 Dec 2010||Endeca Technologies, Inc.||System and method for filtering rules for manipulating search results in a hierarchical search and navigation system|
|US7856443||13 Aug 2004||21 Dec 2010||Gracenote, Inc.||Automatic identification of DVD title using internet technologies and fuzzy matching techniques|
|US7908273||15 Mar 2011||Gracenote, Inc.||Method and system for media navigation|
|US7912823||31 Oct 2007||22 Mar 2011||Endeca Technologies, Inc.||Hierarchical data-driven navigation system and method for information retrieval|
|US7917436||29 Mar 2011||At&T Intellectual Property I, L.P.||Internet billing method|
|US7945645||17 May 2011||Gracenote, Inc.||Method and system for accessing web pages based on playback of recordings|
|US7953779 *||31 May 2011||Trilogy Development Group, Inc.||Configuration representation and modeling using configuration spaces|
|US8015037||1 Jul 2008||6 Sep 2011||Corelogic Information Solutions, Inc.||System and method for tracking, monitoring and reporting extinguishment of a title insurance policy|
|US8015173||6 Sep 2011||Google Inc.||Techniques for web site integration|
|US8019752||13 Sep 2011||Endeca Technologies, Inc.||System and method for information retrieval from object collections with complex interrelationships|
|US8086532||27 Dec 2011||At&T Intellectual Property I, L.P.||Internet billing method|
|US8095533 *||10 Jan 2012||Apple Inc.||Automatic index term augmentation in document retrieval|
|US8108430 *||31 Jan 2012||Microsoft Corporation||Carousel control for metadata navigation and assignment|
|US8112419||7 Feb 2012||Wgrs Licensing Company, Llc||Unified geographic database and method of creating, maintaining and using the same|
|US8224745||31 Dec 2009||17 Jul 2012||Corelogic Tax Services, Llc||Automatic delinquency item processing with customization for lenders|
|US8244795||24 Feb 2004||14 Aug 2012||Verizon Laboratories Inc.||Page aggregation for web sites|
|US8275661||25 Sep 2012||Verizon Corporate Services Group Inc.||Targeted banner advertisements|
|US8370408||13 May 2011||5 Feb 2013||Versata Development Group, Inc.||Configuration representation and modeling using configuration spaces|
|US8548831 *||29 Jul 2011||1 Oct 2013||Corelogic Solutions, Llc||System and method for tracking, monitoring and reporting extinguishment of a title insurance policy|
|US8572069||3 Apr 2006||29 Oct 2013||Apple Inc.||Semi-automatic index term augmentation in document retrieval|
|US8626763||4 Jun 2012||7 Jan 2014||Google Inc.||Server-side suggestion of preload operations|
|US8639694||23 May 2012||28 Jan 2014||Google Inc.||Client-side processing of preload operations|
|US8676802||30 Nov 2006||18 Mar 2014||Oracle Otc Subsidiary Llc||Method and system for information retrieval with clustering|
|US8756212||6 Jul 2009||17 Jun 2014||Google Inc.||Techniques for web site integration|
|US8768912||12 Jan 2010||1 Jul 2014||Facebook, Inc.||System and method for geographically organizing and classifying businesses on the world-wide web|
|US8849982||19 Jan 2007||30 Sep 2014||Google, Inc.||Communicating information relating to a network resource|
|US8862565||5 Jan 2012||14 Oct 2014||Google Inc.||Techniques for web site integration|
|US8935220||17 Jun 2005||13 Jan 2015||WGRS Licensing, LLC||Unified geographic database and method of creating, maintaining and using the same|
|US8938455||12 Sep 2012||20 Jan 2015||Facebook, Inc.||System and method for determining a homepage on the world-wide web|
|US8949256||12 Sep 2012||3 Feb 2015||Facebook, Inc.||System and method for identifying an owner of a web page on the World-Wide Web|
|US8954442||15 Sep 2012||10 Feb 2015||Facebook, Inc.||System and method for classifying an electronic document|
|US9043331||15 Sep 2012||26 May 2015||Facebook, Inc.||System and method for indexing documents on the world-wide web|
|US9058408 *||18 Mar 2013||16 Jun 2015||Eye Level Holdings, Llc||System and method of controlling interactive communication services by responding to user query with relevant information from content specific database|
|US9075881 *||12 Sep 2012||7 Jul 2015||Facebook, Inc.||System and method for identifying the owner of a document on the world-wide web|
|US9165040||12 Oct 2006||20 Oct 2015||Google Inc.||Producing a ranking for pages using distances in a web-link graph|
|US9183300||15 Sep 2012||10 Nov 2015||Facebook, Inc.||System and method for geographically classifying business on the world-wide web|
|US9275130||24 Oct 2013||1 Mar 2016||Apple Inc.||Semi-automatic index term augmentation in document retrieval|
|US9348911||21 Jan 2003||24 May 2016||At&T Intellectual Property I, L.P.||Method for searching from a plurality of data sources|
|US20010052028 *||30 Mar 2001||13 Dec 2001||Roberts Dale Tyson||Method and system for accessing web pages based on playback of recordings|
|US20020054111 *||31 Aug 2001||9 May 2002||Knight Timothy Orr||Interface and program using visual data arrangements for expressing user preferences concerning an action or transaction|
|US20020083039 *||31 Oct 2001||27 Jun 2002||Ferrari Adam J.||Hierarchical data-driven search and navigation system and method for information retrieval|
|US20020111933 *||17 Oct 2001||15 Aug 2002||Noble William B.||Multilingual system having dynamic language selection|
|US20020120604 *||27 Feb 2001||29 Aug 2002||Microsoft Corporation||Records filter|
|US20020120651 *||12 Sep 2001||29 Aug 2002||Lingomotors, Inc.||Natural language search method and system for electronic books|
|US20020165701 *||30 Nov 2001||7 Nov 2002||Jakob Lichtenberg||Method of configuring a product|
|US20030046283 *||29 Oct 2002||6 Mar 2003||Gracenote Inc.||Method and system for finding approximate matches in database|
|US20030120630 *||20 Dec 2001||26 Jun 2003||Daniel Tunkelang||Method and system for similarity search and clustering|
|US20030177111 *||21 Jan 2003||18 Sep 2003||Searchcraft Corporation||Method for searching from a plurality of data sources|
|US20030200505 *||14 May 2003||23 Oct 2003||Evans David A.||Method and apparatus for overlaying a source text on an output text|
|US20040012624 *||31 Aug 2001||22 Jan 2004||Knight Timothy Orr||Stock trading application program|
|US20040034625 *||19 Aug 2002||19 Feb 2004||Kris Reddy||Method and system for complex boolean queries using a simple and intuitive graphical user interface search bar|
|US20040044661 *||26 Aug 2003||4 Mar 2004||Allen Bradley P.||Method and apparatus for using faceted metadata to navigate through information resources|
|US20040078380 *||18 Oct 2002||22 Apr 2004||Say-Ling Wen||Chinese input system with categorized database and method thereof|
|US20040139049 *||5 Nov 2003||15 Jul 2004||Wgrs Licensing Company, Llc||Unified geographic database and method of creating, maintaining and using the same|
|US20040230574 *||5 Mar 2004||18 Nov 2004||Overture Services, Inc||Method and system for generating a set of search terms|
|US20050010604 *||5 Aug 2004||13 Jan 2005||Digital Networks North America, Inc.||Automatic identification of DVD title using internet technologies and fuzzy matching techniques|
|US20050019008 *||13 Aug 2004||27 Jan 2005||Digital Netoworks North America, Inc.||Automatic identification of DVD title using internet technologies and fuzzy matching techniques|
|US20050038781 *||8 Sep 2003||17 Feb 2005||Endeca Technologies, Inc.||Method and system for interpreting multiple-term queries|
|US20050108325 *||24 Feb 2004||19 May 2005||Ponte Jay M.||Page aggregation for Web sites|
|US20050138656 *||24 Aug 2004||23 Jun 2005||United Video Properties, Inc.||Interactive television program guide with enhanced user interface|
|US20050216478 *||26 May 2005||29 Sep 2005||Verizon Laboratories Inc.||Techniques for web site integration|
|US20060004873 *||29 Jul 2005||5 Jan 2006||Microsoft Corporation||Carousel control for metadata navigation and assignment|
|US20060064650 *||20 Sep 2004||23 Mar 2006||International Business Machines Corporation||Method, system, and computer program product for type-based table navigation|
|US20060069628 *||29 Sep 2004||30 Mar 2006||Weiliang Le||Apparatus and method for generating reports from shared objects|
|US20060095418 *||2 Sep 2005||4 May 2006||Bellsouth Intellectual Property Corporation||Arranging records in a search result to be provided in response to a data inquiry of a database|
|US20060218126 *||3 Mar 2004||28 Sep 2006||Hendrikus Albertus De Ruijter||Data retrieval method and system|
|US20070083505 *||20 Apr 2006||12 Apr 2007||Ferrari Adam J||Hierarchical data-driven search and navigation system and method for information retrieval|
|US20070136268 *||11 Jan 2006||14 Jun 2007||Microsoft Corporation||Just in time loading list|
|US20070198493 *||21 Feb 2007||23 Aug 2007||First American Real Estate Solutions, L.P.||System and method for monitoring events associated with a person or property|
|US20070226208 *||6 Jun 2006||27 Sep 2007||Fujitsu Limited||Information retrieval device|
|US20070288478 *||9 Mar 2007||13 Dec 2007||Gracenote, Inc.||Method and system for media navigation|
|US20080040492 *||20 Aug 2007||14 Feb 2008||Gracenote, Inc.||Method and system for accessing web pages based on playback of recordings|
|US20080133479 *||30 Nov 2006||5 Jun 2008||Endeca Technologies, Inc.||Method and system for information retrieval with clustering|
|US20080134100 *||31 Oct 2007||5 Jun 2008||Endeca Technologies, Inc.||Hierarchical data-driven navigation system and method for information retrieval|
|US20080307070 *||14 Aug 2008||11 Dec 2008||Gracenote, Inc.||Method and system for accessing web pages based on playback of recordings|
|US20090076821 *||21 Aug 2006||19 Mar 2009||Gracenote, Inc.||Method and apparatus to control operation of a playback device|
|US20090077100 *||14 Aug 2008||19 Mar 2009||Hancock S Lee||Unified geograhic database and methods of creating, maintaining and using the same|
|US20090125482 *||12 Nov 2007||14 May 2009||Peregrine Vladimir Gluzman||System and method for filtering rules for manipulating search results in a hierarchical search and navigation system|
|US20100004952 *||1 Jul 2008||7 Jan 2010||First American Corelogic, Inc.||System and method for tracking, monitoring and reporting extinguishment of a title insurance policy|
|US20100005104 *||7 Jan 2010||Gracenote, Inc.||Method and system for media navigation|
|US20100106629 *||31 Dec 2009||29 Apr 2010||First American Real Estate Tax Service, Llc.||Automatic delinquency item processing with customization for lenders|
|US20100106807 *||12 Jan 2010||29 Apr 2010||Gracenote, Inc.||Method and system for accessing web pages based on playback of recordings|
|US20100114904 *||12 Jan 2010||6 May 2010||Aol Inc.||System and method for geographically organizing and classifying businesses on the world-wide web|
|US20100223169 *||14 May 2010||2 Sep 2010||First American Corelogic, Inc.||System and method for monitoring events associated with a person or property|
|US20110035325 *||14 Oct 2010||10 Feb 2011||Corelogic Information Solutions, Inc.||System and method for monitoring events associated with a person or property|
|US20110093898 *||21 Apr 2011||Rosenthol Joshua A||Program guide system with user designated favorite themes|
|US20110282699 *||17 Nov 2011||Corelogic Information Solutions, Inc.||System and Method for Tracking, Monitoring and Reporting Extinguishment of a Title Insurance Policy|
|US20130173624 *||12 Sep 2012||4 Jul 2013||Facebook, Inc.||System and method for geographically organizing and classifying businesses on the world-wide web|
|US20130212091 *||18 Mar 2013||15 Aug 2013||Eye Level Holdings, Llc||System and Method of Controlling Interactive Communication Services by Responding to User Query with Relevant Information from Content Specific Database|
|USRE41071||5 Jan 2010||AT&T Intellectual Propeerty I, L.P.||Arranging records in a search result to be provided in response to a data inquiry of a database|
|EP1234252A1 *||26 Oct 2000||28 Aug 2002||Nancy P. Cochran||Search system having user-interface for searching online information|
|EP2199929A1||26 Oct 2000||23 Jun 2010||Cochran, Nancy P.||Search system having user-interface for searching online information|
|EP2881848A1 *||28 Feb 2014||10 Jun 2015||ISE-Net Solutions Limited||Apparatus and method for making a selection|
|WO2000058863A1 *||30 Mar 2000||5 Oct 2000||Verizon Laboratories Inc.||Techniques for performing a data query in a computer system|
|WO2001015010A2 *||24 Aug 2000||1 Mar 2001||Medical Data Services Gmbh||Search tool, system and method|
|WO2001015010A3 *||24 Aug 2000||19 Feb 2004||Ingo Elfering||Search tool, system and method|
|WO2001031508A1 *||26 Oct 2000||3 May 2001||Cochran Nancy P||Search system having user-interface for searching online information|
|WO2001055835A1 *||5 Jan 2001||2 Aug 2001||Overture Services, Inc.||Method and system for generating a set of search terms|
|U.S. Classification||707/752, 707/770, 707/999.004|
|Cooperative Classification||Y10S707/99934, G06F17/30398|
|9 Oct 1996||FPAY||Fee payment|
Year of fee payment: 4
|21 Nov 2000||REMI||Maintenance fee reminder mailed|
|29 Apr 2001||LAPS||Lapse for failure to pay maintenance fees|
|3 Jul 2001||FP||Expired due to failure to pay maintenance fee|
Effective date: 20010427